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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23099
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    Explanations

    phrases related to describing events or incidents as witnessed by individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to witnessing or reporting events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Britann
    -0.73
    ãĥ¯
    -0.68
    çķ
    -0.68
    Correction
    -0.65
    OTUS
    -0.65
    ahead
    -0.65
    boot
    -0.63
     wink
    -0.62
    cade
    -0.62
     isEnabled
    -0.62
    POSITIVE LOGITS
    ewitness
    1.07
     testimonies
    0.90
     anecd
    0.87
     harrowing
    0.85
     testim
    0.80
     abuse
    0.76
     experiencing
    0.76
     suffered
    0.76
     complaints
    0.75
     complain
    0.74
    Activations Density 0.424%

    No Known Activations